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» Embedding Heterogeneous Data Using Statistical Models
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BMCBI
2004
169views more  BMCBI 2004»
15 years 17 days ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
115
Voted
SADM
2010
141views more  SADM 2010»
14 years 7 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
114
Voted
DATE
2007
IEEE
136views Hardware» more  DATE 2007»
15 years 7 months ago
Compositional specification of behavioral semantics
An emerging common trend in model-based design of embedded software and systems is the adoption of Domain-Specific Modeling Languages (DSMLs). While syntax metamodeling enables th...
Kai Chen 0003, Janos Sztipanovits, Sandeep Neema
93
Voted
WMCSA
2002
IEEE
15 years 5 months ago
The Event Heap: A Coordination Infrastructure for Interactive Workspaces
Coordinating the interactions of applications running on the diversity of both mobile and embedded devices that will be common in ubiquitous computing environments is still a diff...
Brad Johanson, Armando Fox
102
Voted
ICML
2010
IEEE
15 years 1 months ago
The Translation-invariant Wishart-Dirichlet Process for Clustering Distance Data
We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuch...